Download Deep Learning KCS078 PDF Free - Full Version
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About Deep Learning KCS078
This document contains the questions for a B.Tech deep learning theory examination. It has 7 sections with multiple choice and long answer questions. Section A contains 10 short answer questions about machine learning applications, Boltzmann machines, convolutional neural network layers, linear models, non-linearities in neural networks, perceptron limitations, convolutions for images, GPUs for deep learning, and face detection algorithms. Section B has 3 long answer questions about deep vs shallow networks, convolutional network architecture, and LSTMs. Section C contains long answer explanations of gradient descent vs stochastic gradient descent or GANs. The remaining sections ask students to explain semi-supervised learning, backpropagation, PCA vs RNNs, privacy implications of facial recognition, and
Detailed Information
| Author: | ['xefedoy533'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 2 |
| Language: | English |
| Format: | |
| Price: | FREE |
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